Application of Rank-Order Morphological Filtering and Sample Entropy in Feature Extraction of Rotor Fault

doi 10.2991/mems.2012.132
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Atlantis Press

Related search

Feature Extraction Strategy With Improved Permutation Entropy and Its Application in Fault Diagnosis of Bearings

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2018English

An Automatic Feature Extraction Method and Its Application in Fault Diagnosis

Journal of Vibroengineering
Materials ScienceMechanical Engineering
2017English

Fault Feature Extraction of Rolling Bearings Based on Variational Mode Decomposition and Singular Value Entropy

DEStech Transactions on Computer Science and Engineering
2017English

A Wavelet Based Multiscale Weighted Permutation Entropy Method for Sensor Fault Feature Extraction and Identification

Journal of Sensors
ControlSystems EngineeringInstrumentationElectricalElectronic Engineering
2016English

A New Approach for Epileptic Seizure Detection: Sample Entropy Based Feature Extraction and Extreme Learning Machine

Journal of Biomedical Science and Engineering
2010English

Efficient and Fault-Tolerant Feature Extraction in Wireless Sensor Networks

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2003English

Unsupervised Feature Extraction Inspired by Latent Low-Rank Representation

2015English

Reduced Rank Vector Generalized Linear Models for Feature Extraction

Statistics and its Interface
Applied MathematicsStatisticsProbability
2013English

Application of Three Order Cumulants in Fault Diagnosis

International Journal of Modern Nonlinear Theory and Application
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy